qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
77 vs 72
Hardware Fit
53 vs 89
Quality Score
87 vs 65
Hardware
qwen3.5:35b qwen3.5-9b
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:35b qwen3.5-9b
Tokens/sec16.028.9
First chunk719 ms338 ms
TTFT719 ms338 ms
Load time17.8 sN/A
Memory usage25.0 GB6.1 GB
Memory %79%10%
HW Fit Score Breakdown
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
qwen3.5-9b
Speed
39/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5-9b
Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest